Working AI in 8–12 weeks
Pick the workflow that hurts the most. We spend 8 to 12 weeks building an agentic system around it. At the end it is running in production and your team is operating it.
Is this you?
- A few people on your team spend most of their week on document processing or data entry.
- An AI proof of concept impressed everyone last year. It never reached production.
- One bottleneck workflow is capping how fast the business can grow.
- You want a result this quarter.
What you get
- An agentic system for one scoped workflow, deployed in your environment
- An evaluation suite that measures output quality before and after launch
- Guardrails and human approval steps where the stakes are high
- Integration with the tools your team already uses
- Documentation and training for the people who will run it
How it works, step by step
Scope
Together we pick one high-volume workflow and agree on the numbers that define success: hours saved, error rate, throughput.
Build
We build in weekly cycles and demo on your real data each week, so you watch the system take shape.
Harden
Edge cases, failure modes, evaluations, guardrails. The unglamorous work that separates a demo from a production system.
Ship
The system goes into your environment. Your team gets trained on it, and the documentation to extend it stays with you.
Common questions
What kinds of workflows fit a sprint?
High-volume work that mixes rules with judgment. Document processing, intake and triage, reporting, quality checks, handoffs between systems. If your team does it many times a week and can describe the steps, it is probably a candidate.
What if the system doesn't perform?
Success metrics are agreed in week one and evaluations run throughout, so performance is visible every week rather than discovered at the end.
Who maintains it afterwards?
Your team, with our documentation and training. If you'd rather keep us involved, we offer ongoing support retainers.
Ship something this quarter
Tell us about the workflow that hurts. We'll tell you whether a sprint can fix it and what the return would look like.
Book an intro call